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record demonstrating expertise in multi-omics analysis, particularly single-cell and spatial transcriptomics. This includes the processing and interpretation of multi-omics, single-cell (e.g., scRNA-seq
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Responsibilities Participate in research program of PID modelling using stem cell platforms conducted in the Division of Rheumatology & Clinical Immunology. Supervise junior research staff and postgraduate students
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subject to satisfactory performance and funding availability. Applicants should possess a PhD in Mental Health, Psychology, Clinical Psychology, Social Work or other related disciplines. They should have (i
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Post-doctoral Fellow/Senior Research Assistant in the Centre for Information Technology in Education
linear regression, mediation analysis, multilevel modeling, and/or latent variable models. Experience in managing and analyzing large datasets and in using generative AI tools for research purposes is a
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self-driven, highly motivated, creative with excellent communication skills in written and spoken English and Cantonese. Expertise and knowledge in AI deep learning model development on histology whole
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duties as assigned by the Head of Department. Requirements 1. A PhD degree or equivalent qualification, preferably with at least 2 years of relevant postdoctoral research experience; 2. A strong
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image analysis packages such as Freesurfer, FSL, SPM, or 3DSlicer, or using machine learning or artificial intelligence models would be advantageous What We Offer The appointee would be exposed to ample
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, with the possibility of renewal subject to funding availability and satisfactory performance. Applicants should possess a PhD or Master's degree in Nursing, Social Sciences (including Psychology, Social
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, attentive to details, and able to work independently and in collaboration with a multidisciplinary team. Knowledge of multilevel modelling and other statistical methods for longitudinal data analysis
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responses. Structural Bioinformatics & Biophysical Modeling: Protein structure prediction (e.g., AlphaFold, RoseTTAFold, ESMFold), molecular dynamics (MD) simulations, or protein-protein/antigen-antibody